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Machine Learning Test
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Machine Learning MCQs For LinkedIn Skill Assessments.

Machine Learning Test
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25 Questions

1. What is an example of a commercial application for a machine learning system?
2. What is one of the most effective way to correct for underfitting your model to the data?
3. What does it mean to underfit your data model?
4. Your supervisor asks you to create a machine learning system that will help your human resources department classify jobs applicants into well-defined groups. What type of system are you more likely to recommend?
5. What is the main motivation for using activation functions in ANN?
6. Which of the following methods can use either as an unsupervised learning or as a dimensionality reduction technique?
7. The model will be trained with data in one single batch is known as ?
8. What is the best definition for bias in your data model?
9. You work for an insurance company. Which machine learning project would add the most value for the company!
10. Which choice is the best example of labeled data?
11. You need to quickly label thousands of images to train a model. What should you do?
12. What is stacking?
13. Your organization allows people to create online professional profiles. A key feature is the ability to create clusters of people who are professionally connected to one another. What type of machine learning method is used to create these clusters?
14. You work in a data science team that wants to improve the accuracy of its K-nearest neighbor result by running on top of a naive Bayes result. What is this an example of?
15. Are data model bias and variance a challenge with unsupervised learning?
16. You work for a hospital that is tracking the community spread of a virus. The hospital created a smartwatch application that uploads body temperature data from hundreds of thousands of participants. What is the best technique to analyze the data?
17. Your machine learning system is using labeled examples to try to predict future data, compare that data to the predicted result, and then the model. What is the best description of this machine learning method?
18. You work for a startup that is trying to develop a software tool that will scan the internet for pictures of people using specific tools. The chief executive is very interested in using machine learning algorithms. What would you recommend as the best place to start?
19. Which of the following is NOT supervised learning?
20. K-means clustering is what type of machine learning algorithm?
21. In the 1983 movie WarGames, the computer learns how to master the game of chess by playing against itself. What machine learning method was the computer using?
22. The security company you work for is thinking about adding machine learning algorithms to their computer network threat detection appliance. What is one advantage of using machine learning?
23. What does this image illustrate?
24. In K-nearest neighbor, the closer you are to neighbor, the more likely you are to
25. You are using K-nearest neighbor and you have a K of 1. What are you likely to see when you train the model?

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